Recently, some outstanding SID models have been proposed, such as RDN [1]}, RNAN [2]}, DIDN [3]}, and DHDN [4]}.
However, it cannot be ignored that the parameters of these models are ten or even hundred times that of our MDRN.
In this paper, we provide a lightweight MDRN, which achieves a good balance between the size and performance of the model.
However, we should notice that the model size of MDRN can be easily changed by changing the number of MSAB (\(N\) ) in MSAG.
In Figure REF , we provide the model performance with different \(N\) . According to the figure, we can find (1). as \(N\)  increases, the model performance can be further improved; (2). when \(N=20\) , MDRN exceeds RNAN with fewer parameters; (3). when \(N=40\) , MDRN exceeds RDN with only half of the parameters. Meanwhile, MDRN achieves close performance to DIDN with only one-fifteenth of the parameters. This fully demonstrates the effectiveness and potential of MDRN.
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